Lectures related to Confirmatory factor analysis

Latent variables in choice models: Optima case study

Explores the Optima case study, analyzing attitudes and mode choice.

Structuring exploratory spatial data analysis

Explores the structured approach to exploratory spatial data analysis, emphasizing the importance of analytical frameworks and the Visual Seeking Mantra.

Latent Factor Analysis: Movie Genre Classification

Explores latent factor analysis for movie genre classification based on male versus female leads.

Understanding Preference Elicitation

Explores preference elicitation, latent variables, and the impact of external events on decision-making.

Introduction: ESDA in environmental health

Introduces exploratory data analysis in environmental health, covering its definition, techniques, and applications in georeferenced health data analysis.

Factor Models: Latent Variables and Asset Pricing

Covers Factor Models, including PCA, asset pricing, factor investing, GMM, and Fama-McBeth estimation.

Factor Models: Portfolio Optimization and APT

Covers mean-variance portfolio choice, factor models, APT, Sharpe ratio, size and value anomalies, Fama and French models, and factor search.

Recommender Systems: Overview and Methods

Explores the evolution of recommenders, collaborative filtering, Netflix Prize, model training, and optimization techniques.

Geospatial Data Analysis: GeoDa Software

Introduces the GeoDa software for exploratory geospatial data analysis.

Introduction: organization and requirements

Covers course organization, spatial statistics, epidemiological data analysis, and group project work.

Multivariate Distributions: Spherical and Elliptical

Explores spherical and elliptical distributions, normal variance mixtures, factor models, and principal component analysis.

Mood disorders and urban environment

Delves into the relationships between mood disorders, cognitive performance, and brain plasticity in urban environments, using data from medical cohorts.

Recommender Systems and Structure Discovery

Explores recommender systems, latent factor models, and clustering algorithms for structure discovery.

Geoda Software: Geospatial Data Analysis

Covers the GeoDa software for geospatial data analysis and thematic mapping.

Exploratory Data Analysis: Binning and Histograms

Covers statistical frequency, binning, histograms, and R data analysis basics.

Graph Mining: Social Networks and Data Analysis

Explores graph mining in social networks, covering data analysis and community detection.

Analysis of Geographic Information: GeoDa

Covers the main functions of the GeoDa software for exploratory analysis.

Detecting and Correcting Parameter Errors in Power Grids

Covers the detection and correction of parameter errors in power grids, focusing on statistical properties, error identification, computational efficiency, sensitivity analysis, and robust state estimation.

Unsupervised Learning: Dimensionality Reduction and Clustering

Covers unsupervised learning, focusing on dimensionality reduction and clustering, explaining how it helps find patterns in data without labels.

Regression Modeling: Variable Selection

Explores regression modeling, emphasizing the importance of interpretation and prediction in model building.